Automate local Go service development and inspection workflows.
npx skills add https://github.com/scenery-sh/scenery --skill scenery
Please help me install this Agent Skill. Skill: scenery Source: https://github.com/scenery-sh/scenery/tree/main Command: npx skills add https://github.com/scenery-sh/scenery --skill scenery
scenery solves the challenge of building, running, debugging, inspecting, validating, and generating clients for Go services by providing a stable local runtime and developer-first tooling.
Start by running scenery check to validate your app, then scenery up to start a local dev runtime.
High-intent search queries and answers about installing and using this skill.
You can automate local Go service workflows by using a CLI to build, run, and debug services deterministically. It relies on a .scenery.json root marker and //scenery directives to provide a stable local runtime for repeatable development and inspection.
The best way to inspect and validate Go app state locally is through on-demand tooling and harness workflows. These enable AI agents to inspect and validate application state deterministically within a local development runtime environment.
You can generate a TypeScript client for Go HTTP endpoints by using a CLI that supports typed HTTP endpoint definitions. The tool automatically generates internal calls and client code based on directives within your Go services.
This local runtime tool requires no external dependencies to run Go services. It organizes optional resources like scripts, references, and assets under a SKILL.md file while exposing core CLI commands for validation and startup.
To start a local dev runtime for Go services, first run the validation command to check your app, then execute the startup command. This initiates the local development environment for building and inspecting your services.
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